Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks

Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks

2006-02-01 | Venkatesh Rajendran, Katia Obraczka, J.J. Garcia-Luna-Aceves
TRAMA is a traffic-adaptive medium access control protocol for wireless sensor networks that ensures energy-efficient, collision-free channel access. It reduces energy consumption by allowing nodes to enter a low-power state when not transmitting or receiving. TRAMA uses a distributed election scheme based on traffic information to determine which node can transmit during a time slot. It avoids assigning time slots to nodes with no traffic to send and allows nodes to determine when to switch to idle mode. TRAMA is shown to be fair and correct, ensuring no idle node is an intended receiver and no receiver suffers collisions. An analytical model is presented to quantify TRAMA's performance, and results are verified by simulation. TRAMA outperforms contention-based protocols (CSMA, 802.11, S-MAC) and static scheduled-access protocols (NAMA) with significant energy savings. TRAMA provides support for unicast, broadcast, and multicast traffic. It differs from S-MAC in that it is inherently collision-free and uses an adaptive, dynamic approach based on current traffic patterns to switch nodes to low power mode. TRAMA is similar to NAMA in that it provides collision-free transmission by scheduling access among two-hop neighboring nodes during a particular time slot. However, unlike NAMA, TRAMA addresses energy efficiency by allowing nodes to switch to sleep mode if they are not selected to transmit and are not the intended receivers of traffic for a particular time slot. TRAMA is correct in that it avoids collisions and transmissions to sleeping nodes. It ensures that no other node except the intended transmitter can transmit in the one-hop neighborhood. TRAMA is also correct in the face of unsynchronized schedules, as the requirement that all nodes listen during the ChangeOver slot prevents invalid state assignments. An analytical model is presented for the delay performance of scheduling-access protocols (NAMA and TRAMA). The model shows that TRAMA's average queueing delay is higher than NAMA due to the overhead introduced by the adaptive scheduling mechanism. However, the model provides an upper bound for TRAMA's average delay and does not account for slot-reuse. Simulation results show that TRAMA's average delay is less than the delay obtained from the analytical model, consistent with the fact that the model provides an upper bound. TRAMA is evaluated through simulations using the Qualnet network simulator. The simulation parameters are set to satisfy the assumptions made in deriving the model. The results show that TRAMA outperforms contention-based and scheduling-based protocols in terms of energy efficiency and throughput. TRAMA is particularly effective in data-gathering applications, where it can adapt its schedules to the application at hand. The results indicate that TRAMA achieves significant energy savings and higher throughput compared to other protocols.TRAMA is a traffic-adaptive medium access control protocol for wireless sensor networks that ensures energy-efficient, collision-free channel access. It reduces energy consumption by allowing nodes to enter a low-power state when not transmitting or receiving. TRAMA uses a distributed election scheme based on traffic information to determine which node can transmit during a time slot. It avoids assigning time slots to nodes with no traffic to send and allows nodes to determine when to switch to idle mode. TRAMA is shown to be fair and correct, ensuring no idle node is an intended receiver and no receiver suffers collisions. An analytical model is presented to quantify TRAMA's performance, and results are verified by simulation. TRAMA outperforms contention-based protocols (CSMA, 802.11, S-MAC) and static scheduled-access protocols (NAMA) with significant energy savings. TRAMA provides support for unicast, broadcast, and multicast traffic. It differs from S-MAC in that it is inherently collision-free and uses an adaptive, dynamic approach based on current traffic patterns to switch nodes to low power mode. TRAMA is similar to NAMA in that it provides collision-free transmission by scheduling access among two-hop neighboring nodes during a particular time slot. However, unlike NAMA, TRAMA addresses energy efficiency by allowing nodes to switch to sleep mode if they are not selected to transmit and are not the intended receivers of traffic for a particular time slot. TRAMA is correct in that it avoids collisions and transmissions to sleeping nodes. It ensures that no other node except the intended transmitter can transmit in the one-hop neighborhood. TRAMA is also correct in the face of unsynchronized schedules, as the requirement that all nodes listen during the ChangeOver slot prevents invalid state assignments. An analytical model is presented for the delay performance of scheduling-access protocols (NAMA and TRAMA). The model shows that TRAMA's average queueing delay is higher than NAMA due to the overhead introduced by the adaptive scheduling mechanism. However, the model provides an upper bound for TRAMA's average delay and does not account for slot-reuse. Simulation results show that TRAMA's average delay is less than the delay obtained from the analytical model, consistent with the fact that the model provides an upper bound. TRAMA is evaluated through simulations using the Qualnet network simulator. The simulation parameters are set to satisfy the assumptions made in deriving the model. The results show that TRAMA outperforms contention-based and scheduling-based protocols in terms of energy efficiency and throughput. TRAMA is particularly effective in data-gathering applications, where it can adapt its schedules to the application at hand. The results indicate that TRAMA achieves significant energy savings and higher throughput compared to other protocols.
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[slides and audio] Energy-efficient collision-free medium access control for wireless sensor networks